Vercel Founder Guillermo Rauch: Internal AI Agent Has Penetrated Company Operations
Vercel founder Guillermo Rauch revealed that the company has built an internal AI agent named @v, which drives daily operations.
This agent covers finance, communication, documentation, marketing, engineering, and business analysis, with daily interactions and token usage growing exponentially; it features user-level memory, personalized workflows and schedules, and continuously self-improves. He stated that this could lead to a day when the AI agent operates the entire company, emphasizing the importance of complete control over source code, data, and tokens.
In the market, enterprise-level internal AI agents are transitioning from experimentation to core operations; capital and development resources are flowing towards fully controllable agent architectures, while solutions relying on third-party large model integrations are under pressure, making autonomous agents a new lever for organizational efficiency.
Source: Public Information
ABAB AI Insight
Guillermo Rauch is known for his work with Next.js and Vercel in enhancing developer experience, consistently promoting innovation in frontend and edge computing; the unveiling of the internal @v agent continues his emphasis on tools amplifying human capabilities, positioning it as a prototype for a company-level operating system.
In terms of capital strategy, Vercel is investing resources into building its own AI agent rather than solely relying on external integrations, motivated by the desire to maintain complete control and a closed data loop; this is reflected in the transition from skill injection to continuous learning and personalized memory, making the agent an extension of organizational knowledge and processes.
Similar cases can be seen in early enterprise internal knowledge bases and automation scripts, or in some current tech companies developing their own coding agents; enterprise software is currently shifting from a tool-assisted phase to an AI-driven operational phase.
This fundamentally represents an organizational restructuring driven by technological substitution: as agents can cover cross-departmental daily work, market mechanisms will reprice enterprise AI based on control and scalability, concentrating pricing power in organizations that can build and manage full-stack agents.
ABAB News · Cognitive Laws
Internal agents are more controllable than external integrations
Once daily operations are permeated by AI, the form of the company will change
Control from source code to tokens is the true moat